International Journal of Health Science & Biomedicine

Abstract 

The objective of the study was to explore the dimensions of innovation in a public university in central Mexico during anti- COVID-19 policies of distancing and confinement of people. A cross-sectional, exploratory, psychometric and correlational research was carried out with a sample of 186, considering their professional practices and social service in public health institutions. The results show a structure of efficiency, usefulness and use. In relation to the state of the art, the structure of acceptance of the technology is corroborated, although in the pandemic scenario the dissolution of the second and third factors is appreciated, as well as the prevalence of the third factor.

Introduction

Process innovation is an emerging phenomenon in public health institutions when they face scenarios of risk of contagion, disease and death. In the case of COVID-19, the impact of this health crisis on the formation of intellectual capital consisted of the transition from face-to-face to virtual classroom [1]. In this situation, teachers and students had to innovate in the teaching and learning of contents that suppose an equivalent of practical hours with respect to theoretical hours. In this way, the training of talent was at the crossroads of confining and distancing the parties involved, or intensifying its processes in an exceptional scenario of the transmission of the SARS CoV-2 corona virus [2]. Therefore, the dilemma warns of at least three factors to consider: the usefulness, efficiency and intensity of the use of technologies, platforms, devices and networks for the formation of intangible assets. Efficiency is a factor considered by technology studies since the 1990s when it was proposed to observe it as a perceived ability to manage technology. Research has shown that efficiency is a determining factor in the use of technology, but such anticipatory power increases when it is associated with utility [3]. In other words, technology users must believe that their performance will increase significantly in order to develop computational ability and translate such consolidation into an intensive use of technology for self-learning. If efficiency in positive correlation with utility predicts outstanding behavior, then utility is more than a perception or belief in the development of skills or competencies associated with the use of technology. Utility has been studied as a variable correlated with efficiency, but only in models that explain the use of technology [4]. In exceptional scenarios such as economic or health crises, utility reduces its association with efficiency and decreases the prediction of the use of technology [5]. Therefore, it is necessary to investigate whether utility is a dimension of an emerging process in the face of contingencies. The use of technology has been predicted from efficiency and utility as a result of the association between both variables. Even the literature consulted suggests that utility is an indirect predictor of the use of technology as long as efficiency mediates the relationship [6]. That is, the use of technology is explained from the increase in utility and efficient ability, but the reduction of one and the increase of another do not predict the use of technology and rather opens the discussion if both factors belong to the same process. The literature has shown that only the positive association between utility and efficiency predicts technology use, but the negative association between utility and efficiency does not explain the decrease or increase in technology use. Therefore, it is necessary to investigate whether the three variables are dimensions of the same process [7]. In the case of the pandemic, understood as a scenario of crisis and risk of contagion, illness and death, the literature indicates that it has more impact on utility than on efficiency, although such an effect reduces the predictive power of both for the use of the technology. The literature suggests that the three variables: usefulness, efficiency and use of technology, in contexts of academic, professional or work training, can be assumed as dimensions of a process known as innovation [8]. The human capital theory warns that training is affected by the demands of the environment [9]. An incited increase in requirements reduces the usefulness, efficiency and use of technology. If a public health center is considered as a setting for the formation of intangible assets, then it is necessary to assume that the demands of the environment underlie the innovation of the processes and with it its effect on the utility, efficiency and use of technology. Understood as risk prevention for self-care, process innovation is appreciated in public health institutions where even essential resources such as gloves, face shields, masks, disinfectants or oximeter are scarce. Therefore, the intellectual capital in formation had to innovate its interaction in order to avoid infections, illnesses and deaths from COVID-19. In this way, the objective of this work is to explore the dimensions of innovation by considering it as an emerging phenomenon in the health crisis, as well as a reflection of the usefulness, efficiency and use of technology in talent training. Are there significant differences between the theoretical structure reported in the literature with respect to the observations to be made in this study regarding the training innovation of talents in the face of the pandemic? The literature suggests that there are significant differences if we consider that the literature reports structures of utility, efficiency and use of technology in scenarios where the demands of the environment and the optimization of resources are in balance, but if there is an imbalance, it is possible to see more similarities. what differences. 

Methods

There were 186 students selected from the Metropolitan Autonomous University. 65 men (25 studied in CBI, 26 in CBS and 14 in CSH) and 121 women (22 in CBI, 59 in CBS and 40 in CSH). The validity was carried out in a first phase with the exploratory factorial analysis technique of main axes with Promax rotation. In the first phase, the reliability and validity of the instruments that measured the five variables was built and established. In the second phase, the likelihood of adjusting indirect and direct, negative and positive, and significant causal relationships between the study variables was modeled and demonstrated. From the Mobile Consumption Theory, twelve indicators were established that configured three dimensions for the five variables of the measurement model that were subjected to an exploratory factor analysis of the main components with Promax rotation. The results reject the hypothesis of factorial multidimensional for three variables of the measurement model. 

• Scale of the perception of the level of utility: 12 items with response options from “strongly disagree” to “strongly agree”. The table shows the convergence (indicated by the factor weight) of the reagents with respect to the factor.

• Scale of the perception of the degree of efficiency: 12 items with response options from “never” to “always”. Considering the factor weights of the perceptual variable of self-efficiency, the convergence of four reagents is demonstrated.

• Scale of the level of use: 12 items with response options from “less than ten minutes” to “more than twenty minutes. Because the three scales have interval levels, their equivalence was not necessary, but if there were any asymmetry, it was cleared by multiplying it by a constant. The psychometric properties of the instruments that measure the study variables are detailed in the table where they meet the requirements for multi variable analysis. During the first week of the spring quarter of 2023 at the UAM-I library, students were asked how often they used their phone to download images, sounds and speeches to select the ideal sample. Subsequently, the questionnaire was provided indicating a response time of 30 minutes to answer it. 

Results 

From the Innovation Theory, a new model was designed with the variables that met the criteria of reliability and validity [Table 1].

Source: Elaborated with data study, Barttlett’s test 1783.936 (105 df) p < .001 

Table 1: Kaiser Meyer Olkin test

Multiple linear regression was calculated to establish the determinants of the dependent variable and the non-linear relationship between independent variables. The scheme shows that the perception factor of academic utility is the main determinant of the level factor of Internet use for academic purposes [Table 2].

Source: Elborated with data study

Table 2: Factor loading 

Note: Applied rotation method is Promax. RC1 = Efficiency, RC2 = Utility, RC3 = Use 

This finding indicates a modification of the TCM measurement model by proposing a direct, positive and significant effect of the utility factor on the use for academic purposes. That is, a person looking to buy for example a book, could get it if there was a virtual library connected to the mobile phone [Table 3].

Source: Elaborated with data study. RC1 = Efficiency, RC2 = Utility, RC3 = Use 

Table 3: Factor correlations 

Similar reasoning would imply the perception factor of self-efficiency as a determinant of academic mobile use. An individual looking for academic information could find it through his mobile phone. However, the causal relationship lacking the required significance suggests the exclusion of the variable [Figure 1].

Source: Elaborated with data study, χ2 411.837 (63 df) p < .001; TLI = 0,646; RMSEA = 0.248. RC1 = Efficiency, RC2 = Utility, RC3 = Use 

Figure 1: Path diagram 

The strength of association between independent variables indicates its spurious implication. Finally, the level of mobile Internet use for academic purposes is explained by the two independent variables in percent of their variability. From the original measurement model only two variables maintain a causal relationship that selects them for inclusion in another measurement model. These consequences and implications are discussed below. 

Discussion 

The objective of the present work was to specify a model for the study of the perception of utility, considering the dimensions reported in the literature, as well as those established in the present work, but its design limited the contributions to the analyzed sample, suggesting the extension of work towards other scenarios and other study samples. In relation to the perception of utility that literature identifies as concomitant to the perceived ease of use. The present work has shown that it affects, together with the perception of efficiency, the intensive use of electronic technologies, devices and networks. Regarding the perception of effectiveness that literature links to the perception of control. The present study has shown that when interrelated with the perception of utility generates a predictive structure of Internet use. In relation to the use of the Internet, literature stands out as a result of the interrelationship between perceptions of utility, ease, efficiency and control. The present work has shown that the perception of utility associated with the perception of effectiveness generates a structure that determines the use of the Internet. Research lines concerning the associative structure of the perception of utility with the perception of efficiency and these as determinants of the use of the Internet will explain the rational, deliberate, planned and systematic process of acceptance of technology. 

Conclusions 

The objective of this paper was to specify a model based on the theory of mobile consumption, which highlights the relationship between perceptions as determinants of the use of technologies, devices and networks. However, the present work proposed a modification of the perceptual structure in order to increase the predictive power of the theory of mobile consumption, highlighting the association between the perception of utility and the perception of efficacy as predictors of behavior. Research lines concerning the predictive structure of electronic consumption will explain the associative relationship between utility and perceived effectiveness, as well as its impact on the use of the Internet. The study allows us to conclude that utility is a strong determinant of the academic use of technologies, platforms, devices and networks, which shows that in technological ecosystems the utility of a certain tool can be a precursor to process innovations; mainly those that refer to the activities of searching and reading bibliographic material. Another fundamental aspect that the research manages to conclude is about the perception of efficiency as an aspect without significant relation to the use of the Internet, which makes sense when understanding that, in academic settings, access to bibliography can only be done in two ways; directly in physical spaces or through the network. In this sense, although the students' perception of efficiency does not have a direct relationship with the use of the Internet, it does not necessarily imply that the technologies are inefficient, but rather that this aspect is not something that students consider when deciding whether to use the internet or not. Finally, this study aims to open new lines of research on how the Internet can change the patterns of behavior and use of technologies by students, mainly in post-pandemic spaces that, as a consequence, generated a greater massification and expansion of Information Technologies. and Communication, therefore, it is possible to think that not only the use of the Internet but other aspects such as reading and self-learning, may be determined by aspects such as the usefulness, efficiency and intensity of the networks.

References

1. García LC, Bermúdez-Ruíz G, Juárez NM (2022) Dimensiones de emprendimiento de la reactivación de la economía basada en el turismo en México central. Ara Revista De Investigación En Turismo 11:100-114.
2. Bustos-Aguayo JM, Juárez NM, García LC (2022) Review of entrepreneurship in the COVID-19 era. Revista Ingenio 19: 60-66.
3. Sánchez SA, Rivera Varela BL (2020) Governance of in a coffee industry. Revista De Investigación Académica Sin Frontera: División De Ciencias Económicas Y Sociales 28.
4. García LC, Bolivar ME, Blaness UA, Coronado RO, Molina GM (2021) Contraste un model de violencia doméstica en la era del covid-19 . Revista De Investigación Académica Sin Frontera: División De Ciencias Económicas Y Sociales 35:13.
5. Jacinto OAD, Lirios CG (2022) Digital Activism in the COVID-19 era. Jurnal Bisnis Manajemen Dan Ekonomi 3:147-155.
6. Espinoza MF, Sánchez SA, García LC (2022) Reputación corporativa en una Universidad pública formadora de trabajadores sociales de la salud pública. Revista GEON Gestión Organizaciones Y Negocios 9:e-747.
7. García LC (2021) Redes tutoriales en la elaboración del protocolo de investigación. Comunicación Cultura Y Política 12.
8. Jacinto OAD, Lirios CG (2022) Digital Activism in the COVID-19 era. Jurnal Bisnis Manajemen Dan Ekonomi 3:147-155. 
9. García LC, Carreón GJ, Bustos Aguayo JM, Hernández VJ (2020) Percepción del emprendimiento caficultor en la región Huasteca, centro de México: Array. Revista Activos 18:235–266.